scholarly journals Transcriptomic Analysis Reveals Regulatory Networks for Osmotic Water Stress and Rewatering Response in the Leaves of Ginkgo biloba

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1705
Author(s):  
Wanwen Yu ◽  
Jinfeng Cai ◽  
Huimin Liu ◽  
Zhiguo Lu ◽  
Jingjing Hu ◽  
...  
Keyword(s):  
Cell Wall ◽  
Water Stress ◽  
Water Transport ◽  
Ginkgo Biloba ◽  
Regulatory Networks ◽  
Differentially Expressed ◽  
Control Group ◽  
Gene Coexpression ◽  
Osmotic Water ◽  
Coexpression Networks

To elucidate the transcriptomic regulation mechanisms that underlie the response of Ginkgo biloba to dehydration and rehydration, we used ginkgo saplings exposed to osmotically driven water stress and subsequent rewatering. When compared with a control group, 137, 1453, 1148, and 679 genes were differentially expressed in ginkgo leaves responding to 2, 6, 12, and 24 h of water deficit, and 796 and 1530 genes were differentially expressed responding to 24 and 48 h of rewatering. Upregulated genes participated in the biosynthesis of abscisic acid, eliminating reactive oxygen species (ROS), and biosynthesis of flavonoids and bilobalide, and downregulated genes were involved in water transport and cell wall enlargement in water stress-treated ginkgo leaves. Under rehydration conditions, the genes associated with water transport and cell wall enlargement were upregulated, and the genes that participated in eliminating ROS and the biosynthesis of flavonoids and bilobalide were downregulated in the leaves of G. biloba. Furthermore, the weighted gene coexpression networks were established and correlated with distinct water stress and rewatering time-point samples. Hub genes that act as key players in the networks were identified. Overall, these results indicate that the gene coexpression networks play essential roles in the transcriptional reconfiguration of ginkgo leaves in response to water stress and rewatering.

scholarly journals Gene coexpression networks reveal molecular interactions underlying cichlid jaw modularity

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pooja Singh ◽  
Ehsan Pashay Ahi ◽  
Christian Sturmbauer
Keyword(s):  
In Silico ◽  
Regulatory Networks ◽  
Evolutionary Significance ◽  
Cichlid Species ◽  
Cichlid Fishes ◽  
Gene Coexpression ◽  
Modular Evolution ◽  
Jaw Apparatus ◽  
Coexpression Networks ◽  
Pharyngeal Jaw

Abstract Background The oral and pharyngeal jaw of cichlid fishes are a classic example of evolutionary modularity as their functional decoupling boosted trophic diversification and contributed to the success of cichlid adaptive radiations. Most studies until now have focused on the functional, morphological, or genetic aspects of cichlid jaw modularity. Here we extend this concept to include transcriptional modularity by sequencing whole transcriptomes of the two jaws and comparing their gene coexpression networks. Results We show that transcriptional decoupling of gene expression underlies the functional decoupling of cichlid oral and pharyngeal jaw apparatus and the two units are evolving independently in recently diverged cichlid species from Lake Tanganyika. Oral and pharyngeal jaw coexpression networks reflect the common origin of the jaw regulatory program as there is high preservation of gene coexpression modules between the two sets of jaws. However, there is substantial rewiring of genetic architecture within those modules. We define a global jaw coexpression network and highlight jaw-specific and species-specific modules within it. Furthermore, we annotate a comprehensive in silico gene regulatory network linking the Wnt and AHR signalling pathways to jaw morphogenesis and response to environmental cues, respectively. Components of these pathways are significantly differentially expressed between the oral and pharyngeal jaw apparatus. Conclusion This study describes the concerted expression of many genes in cichlid oral and pharyngeal jaw apparatus at the onset of the independent life of cichlid fishes. Our findings suggest that – on the basis of an ancestral gill arch network—transcriptional rewiring may have driven the modular evolution of the oral and pharyngeal jaws, highlighting the evolutionary significance of gene network reuse. The gene coexpression and in silico regulatory networks presented here are intended as resource for future studies on the genetics of vertebrate jaw morphogenesis and trophic adaptation.

scholarly journals Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Lian Wang ◽  
Ruifeng Lu ◽  
Yujia Wang ◽  
Xiaoyun Wang ◽  
Dan Hao ◽  
...  
Keyword(s):  
Noncoding Rna ◽  
Molecular Mechanisms ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Control Group ◽  
Group 13 ◽  
Regulatory Processes ◽  
Coexpression Networks

Rosacea is a chronic and relapsing inflammatory cutaneous disorder with highly variable prevalence worldwide that adversely affects the health of patients and their quality of life. However, the molecular characterization of each rosacea subtype is still unclear. Furthermore, little is known about the role of long noncoding RNAs (lncRNAs) in the pathogenesis or regulatory processes of this disorder. In the current study, we established lncRNA-mRNA coexpression networks for three rosacea subtypes (erythematotelangiectatic, papulopustular, and phymatous) and performed their functional enrichment analyses using Gene Onotology, KEGG, GSEA, and WGCNA. Compared to the control group, 13 differentially expressed lncRNAs and 525 differentially expressed mRNAs were identified in the three rosacea subtypes. The differentially expressed genes identified were enriched in four signaling pathways and the GO terms found were associated with leukocyte migration. In addition, we found nine differentially expressed lncRNAs in all three rosacea subtype-related networks, including NEAT1 and HOTAIR, which may play important roles in the pathology of rosacea. Our study provided novel insights into lncRNA-mRNA coexpression networks to discover the molecular mechanisms involved in rosacea development that can be used as future targets of rosacea diagnosis, prevention, and treatment.

scholarly journals The bacteriostatic effect and mechanism of berberine on Methicillin resistant Staphylococcus aureus in vitro

2020 ◽  
Author(s):  
Lei Wang ◽  
Fangfang Zhou ◽  
Minyi Xu ◽  
Pei Lu ◽  
Ming Lin ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Cell Wall ◽  
Rna Sequencing ◽  
Methicillin Resistant Staphylococcus Aureus ◽  
Differentially Expressed ◽  
Control Group ◽  
High Concentration ◽  
Bacteriostatic Effect ◽  
Low Concentration ◽  
Cell Wall Hydrolysis

Abstract Background: To observe the bacteriostatic effect of berberine (BBR) and BBR combined with gentamicin (GEN), levofloxacin (LEV) and amikacin (AMI) on Methicillin resistant Staphylococcus aureus (MRSA), while also exploring the bacteriostatic mechanism of BBR on MRSA. Results: The MICs range of BBR on 26 strains of MRSA was 32-256 µg/mL. BBR combined with GEN, LEV and AMI had obvious bacteriostatic effect on MRSA. After co-culturing MRSA with BBR at 512 µg/mL, 64 µg/mL and 8 µg/mL, respectively, the electrical conductivity increased, compared with the control group, by 8.14%, 13.08% and 12.01%, respectively. Using transmission electron microscopy, we found that low concentration of BBR (8 µg/mL; 1/8 MIC) caused no significant damage to MRSA, and the bacterial structure of MRSA remained intact, while high concentration of BBR (512 µg/mL; 8 MIC) induced the destruction and dissolution of MRSA cell wall structure and the leakage of bacterial contents, leading to bacterial lysis. RNA-sequencing results showed that there were 754 differentially expressed genes in the high concentration group compared with the normal control group. Compared with the low concentration group, there were 590 differentially expressed genes in the high concentration group. Compared with the control group, only 19 genes were differentially expressed in the low concentration group. The up-regulated genes are mainly related to the cell wall hydrolysis regulatory genes, while the down-regulated genes are mainly related to the serine protease family. Conclusions: BBR displayed an excellent bacteriostatic effect on MRSA. BBR combined with GEN and AMI significantly enhanced the bacteriostatic effect on MRSA, while BBR combined with LEV showed no significant change in the bacteriostatic effect on MRSA. BBR inhibited bacteria by destroying and dissolving the structure of MRSA cell wall. RNA-sequencing results further demonstrated that the expression of cell wall hydrolysis genes ssaA, lytM and virulence factor serine protease genes were significantly differentially expressed when high concentration BBR treated on MRSA.

scholarly journals LncRNA regulates tomato fruit cracking by coordinating gene expression via a  hormone-redox-cell wall network

2020 ◽  
Author(s):  
Lingzi Xue ◽  
Mintao Sun ◽  
Zhen Wu ◽  
Lu Yu ◽  
Qinghui Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Wall ◽  
Abiotic Stress ◽  
Regulatory Networks ◽  
Tomato Fruit ◽  
Fruit Production ◽  
Differentially Expressed ◽  
Oxidoreductase Activity ◽  
Fruit Cracking ◽  
Stress Signals

Abstract Background Fruit cracking occurs easily under unsuitable environmental conditions and is one of the main types of damage that occurs in fruit production. It is widely accepted that plants have developed defence mechanisms and regulatory networks that respond to abiotic stress, which involves perceiving, integrating and responding to stress signals by modulating the expression of related genes. Fruit cracking is also a physiological disease caused by abiotic stress. It has been reported that a single or several genes may regulate fruit cracking. However, almost none of these reports have involved cracking regulatory networks. Results Here, RNA expression in 0 h, 8 h and 30 h saturated irrigation-treated fruits from two contrasting tomato genotypes, ‘LA1698’ (cracking-resistant, CR) and ‘LA2683’ (cracking-susceptible, CS), was analysed by mRNA and lncRNA sequencing. The GO pathways of the differentially expressed mRNAs were mainly enriched in the ‘hormone metabolic process’, ‘cell wall organization’, ‘oxidoreductase activity’ and ‘catalytic activity’ categories. According to the gene expression analysis, significantly differentially expressed genes included Solyc02g080530.3 ( Peroxide, POD ), Solyc01g008710.3 ( Mannan endo-1,4-beta-mannosidase, MAN ), Solyc08g077910.3 ( Expanded, EXP ), Solyc09g075330.3 ( Pectinesterase , PE ), Solyc07g055990.3 ( Xyloglucan endotransglucosylase-hydrolase 7, XTH7 ), Solyc12g011030.2 ( X yloglucan endotransglucosylase-hydrolase 9 , XTH9 ), Solyc10g080210.2 ( Polygalacturonase-2, PG2 ), Solyc08g081010.2 ( Gamma-glutamylcysteine synthetase, gamma-GCS ), Solyc09g008720.2 ( Ethylene receptor , ER ), Solyc11g042560.2 ( Ethylene-responsive transcription factor 4, ERF4 ) etc. In addition, the lncRNAs (XLOC_16662 and XLOC_033910, etc) regulated the expression of their neighbouring genes, and genes related to tomato cracking were selected to construct a lncRNA-mRNA network influencing tomato cracking. Conclusions This study provides insight into the responsive network for water-induced cracking in tomato fruit. Specifically, lncRNAs regulate the hormone-redox-cell wall network, including plant hormone (auxin, ethylene) and ROS (H 2 O 2 ) signal transduction and many cell wall-related mRNAs ( EXP, PG, XTH ), as well as some lncRNAs ( XLOC_16662 and XLOC_033910, etc.).

scholarly journals LncRNA regulates tomato fruit cracking by coordinating gene expression via a  hormone-redox-cell wall network

2020 ◽  
Author(s):  
Lingzi Xue ◽  
Mintao Sun ◽  
Zhen Wu ◽  
Lu Yu ◽  
Qinghui Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Wall ◽  
Abiotic Stress ◽  
Regulatory Networks ◽  
Tomato Fruit ◽  
Fruit Production ◽  
Differentially Expressed ◽  
Oxidoreductase Activity ◽  
Fruit Cracking ◽  
Stress Signals

Abstract Background Fruit cracking occurs easily under unsuitable environmental conditions and is one of the main types of damage that occurs in fruit production. It is widely accepted that plants have developed defence mechanisms and regulatory networks that respond to abiotic stress, which involves perceiving, integrating and responding to stress signals by modulating the expression of related genes. Fruit cracking is also a physiological disease caused by abiotic stress. It has been reported that a single or several genes may regulate fruit cracking. However, almost none of these reports have involved cracking regulatory networks. Results Here, RNA expression in 0 h, 8 h and 30 h saturated irrigation-treated fruits from two contrasting tomato genotypes, ‘LA1698’ (cracking-resistant, CR) and ‘LA2683’ (cracking-susceptible, CS), was analysed by mRNA and lncRNA sequencing. The GO pathways of the differentially expressed mRNAs were mainly enriched in the ‘hormone metabolic process’, ‘cell wall organization’, ‘oxidoreductase activity’ and ‘catalytic activity’ categories. According to the gene expression analysis, significantly differentially expressed genes included Solyc02g080530.3 ( Peroxide, POD ), Solyc01g008710.3 ( Mannan endo-1,4-beta-mannosidase, MAN ), Solyc08g077910.3 ( Expanded, EXP ), Solyc09g075330.3 ( Pectinesterase , PE ), Solyc07g055990.3 ( Xyloglucan endotransglucosylase-hydrolase 7, XTH7 ), Solyc12g011030.2 ( X yloglucan endotransglucosylase-hydrolase 9 , XTH9 ), Solyc10g080210.2 ( Polygalacturonase-2, PG2 ), Solyc08g081010.2 ( Gamma-glutamylcysteine synthetase, gamma-GCS ), Solyc09g008720.2 ( Ethylene receptor , ER ), Solyc11g042560.2 ( Ethylene-responsive transcription factor 4, ERF4 ) etc. In addition, the lncRNAs (XLOC_16662 and XLOC_033910, etc) regulated the expression of their neighbouring genes, and genes related to tomato cracking were selected to construct a lncRNA-mRNA network influencing tomato cracking. Conclusions This study provides insight into the responsive network for water-induced cracking in tomato fruit. Specifically, lncRNAs regulate the hormone-redox-cell wall network, including plant hormone (auxin, ethylene) and ROS (H 2 O 2 ) signal transduction and many cell wall-related mRNAs ( EXP, PG, XTH ), as well as some lncRNAs ( XLOC_16662 and XLOC_033910, etc.).

scholarly journals Estimating Linear and Nonlinear Gene Coexpression Networks by Semiparametric Neighborhood Selection

Genetics ◽  
2020 ◽  
Vol 215 (3) ◽  
pp. 597-607
Author(s):  
Juho A. J. Kontio ◽  
Marko J. Rinta-aho ◽  
Mikko J. Sillanpää
Keyword(s):  
Regulatory Networks ◽  
Selection Procedure ◽  
Critical Issue ◽  
Small Sample ◽  
Estimation Methods ◽  
Gene Coexpression ◽  
Neighborhood Selection ◽  
Nonlinear Associations ◽  
Linear And Nonlinear ◽  
Coexpression Networks

Whereas nonlinear relationships between genes are acknowledged, there exist only a few methods for estimating nonlinear gene coexpression networks or gene regulatory networks (GCNs/GRNs) with common deficiencies. These methods often consider only pairwise associations between genes, and are, therefore, poorly capable of identifying higher-order regulatory patterns when multiple genes should be considered simultaneously. Another critical issue in current nonlinear GCN/GRN estimation approaches is that they consider linear and nonlinear dependencies at the same time in confounded form nonparametrically. This severely undermines the possibilities for nonlinear associations to be found, since the power of detecting nonlinear dependencies is lower compared to linear dependencies, and the sparsity-inducing procedures might favor linear relationships over nonlinear ones only due to small sample sizes. In this paper, we propose a method to estimate undirected nonlinear GCNs independently from the linear associations between genes based on a novel semiparametric neighborhood selection procedure capable of identifying complex nonlinear associations between genes. Simulation studies using the common DREAM3 and DREAM9 datasets show that the proposed method compares superiorly to the current nonlinear GCN/GRN estimation methods.

scholarly journals Comparative transcriptomics method to infer gene coexpression networks and its applications to maize and rice leaf transcriptomes

2019 ◽  
Vol 116 (8) ◽  
pp. 3091-3099 ◽  
Author(s):  
Yao-Ming Chang ◽  
Hsin-Hung Lin ◽  
Wen-Yu Liu ◽  
Chun-Ping Yu ◽  
Hsiang-June Chen ◽  
...  
Keyword(s):  
Time Series ◽  
Regulatory Networks ◽  
High Efficiency ◽  
Kranz Anatomy ◽  
Rice Leaf ◽  
Regulatory Cascade ◽  
Gene Coexpression ◽  
Coexpression Networks ◽  
Analyze Time Series ◽  
Upstream Regulators

Time-series transcriptomes of a biological process obtained under different conditions are useful for identifying the regulators of the process and their regulatory networks. However, such data are 3D (gene expression, time, and condition), and there is currently no method that can deal with their full complexity. Here, we developed a method that avoids time-point alignment and normalization between conditions. We applied it to analyze time-series transcriptomes of developing maize leaves under light–dark cycles and under total darkness and obtained eight time-ordered gene coexpression networks (TO-GCNs), which can be used to predict upstream regulators of any genes in the GCNs. One of the eight TO-GCNs is light-independent and likely includes all genes involved in the development of Kranz anatomy, which is a structure crucial for the high efficiency of photosynthesis in C4 plants. Using this TO-GCN, we predicted and experimentally validated a regulatory cascade upstream of SHORTROOT1, a key Kranz anatomy regulator. Moreover, we applied the method to compare transcriptomes from maize and rice leaf segments and identified regulators of maize C4 enzyme genes and RUBISCO SMALL SUBUNIT2. Our study provides not only a powerful method but also novel insights into the regulatory networks underlying Kranz anatomy development and C4 photosynthesis.

scholarly journals LncRNA regulates tomato fruit cracking by coordinating gene expression via a  hormone-redox-cell wall network

2020 ◽  
Author(s):  
Lingzi Xue ◽  
Mintao Sun ◽  
Zhen Wu ◽  
Lu Yu ◽  
Qinghui Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Wall ◽  
Abiotic Stress ◽  
Regulatory Networks ◽  
Tomato Fruit ◽  
Fruit Production ◽  
Differentially Expressed ◽  
Oxidoreductase Activity ◽  
Fruit Cracking ◽  
Stress Signals

Abstract Background Fruit cracking occurs easily under unsuitable environmental conditions and is one of the main types of damage that occurs in fruit production. It is widely accepted that plants have developed defence mechanisms and regulatory networks that respond to abiotic stress, which involves perceiving, integrating and responding to stress signals by modulating the expression of related genes. Fruit cracking is also a physiological disease caused by abiotic stress. It has been reported that a single or several genes may regulate fruit cracking. However, almost none of these reports have involved cracking regulatory networks. Results Here, RNA expression in 0 h, 8 h and 30 h saturated irrigation-treated fruits from two contrasting tomato genotypes, ‘LA1698’ (cracking-resistant, CR) and ‘LA2683’ (cracking-susceptible, CS), was analysed by mRNA and lncRNA sequencing. The GO pathways of the differentially expressed mRNAs were mainly enriched in the ‘hormone metabolic process’, ‘cell wall organization’, ‘oxidoreductase activity’ and ‘catalytic activity’ categories. According to the gene expression analysis, significantly differentially expressed genes included Solyc02g080530.3 ( Peroxide, POD ), Solyc01g008710.3 ( Mannan endo-1,4-beta-mannosidase, MAN ), Solyc08g077910.3 ( Expanded, EXP ), Solyc09g075330.3 ( Pectinesterase , PE ), Solyc07g055990.3 ( Xyloglucan endotransglucosylase-hydrolase 7, XTH7 ), Solyc12g011030.2 ( X yloglucan endotransglucosylase-hydrolase 9 , XTH9 ), Solyc10g080210.2 ( Polygalacturonase-2, PG2 ), Solyc08g081010.2 ( Gamma-glutamylcysteine synthetase, gamma-GCS ), Solyc09g008720.2 ( Ethylene receptor , ER ), Solyc11g042560.2 ( Ethylene-responsive transcription factor 4, ERF4 ) etc. In addition, the lncRNAs (XLOC_134491 and XLOC_036966) regulated the expression of their neighbouring genes, and genes related to tomato cracking were selected to construct a lncRNA-mRNA network influencing tomato cracking. Conclusions This study provides insight into the responsive network for water-induced cracking in tomato fruit. Specifically, lncRNAs regulate the hormone-redox-cell wall network, including plant hormone (auxin, ethylene) and ROS (H 2 O 2 ) signal transduction and many cell wall-related mRNAs (EXP, PG, XTH), as well as some lncRNAs ( XLOC_134491 and XLOC_104931, etc.). Keywords Tomato, LncRNA, mRNA, Transcriptome, Network, Fruit cracking

scholarly journals Transcriptome analysis of Valsa mali reveals its response mechanism to the biocontrol actinomycete Saccharothrix yanglingensis Hhs.015

2018 ◽  
Author(s):  
Cong Liu ◽  
Dongying Fan ◽  
Yanfang Li ◽  
Yue Chen ◽  
Lili Huang ◽  
...  
Keyword(s):  
Cell Wall ◽  
Glyoxylate Cycle ◽  
Tca Cycle ◽  
Differentially Expressed ◽  
Wall Structure ◽  
Control Group ◽  
Retinol Dehydrogenase ◽  
Nitrogenous Compounds ◽  
Function And Pathway Analysis ◽  
Valsa Mali

Apple canker is a devastating branch disease caused by Valsa mali (Vm). The endophytic actinomycete Saccharothrix yanglingensis Hhs.015 (Sy Hhs.015) can effectively inhibit the growth of Vm. To reveal the mechanism, by which Vm respond to Sy Hhs.015, the transcriptome of Vm was analyzed using RNA-seq technology. Compared with the control group, 1476 genes were significantly differentially expressed in the treatment group, of which 851 genes were up-regulated and 625 genes were down-regulated. Combined gene function and pathway analysis of differentially expressed genes (DEGs) revealed that Sy Hhs.015 affected the carbohydrate metabolic pathway, which is utilized by Vm for energy production. Approximately 82% of the glycoside hydrolase genes were down-regulated, including three pectinase genes (PGs), which are key pathogenic factors. The cell wall structure of Vm was disrupted by Sy Hhs.015 and cell wall-related genes were found to be down-regulated. Of the peroxisome associated genes, those encoding catalase (CAT) and superoxide dismutase (SOD) which scavenge reactive oxygen species (ROS), as well as those encoding AMACR and ACAA1 which are related to the β-oxidation of fatty acids, were down-regulated. MS and ICL, key genes in glyoxylate cycle, were also down-regulated. In response to the stress of Sy Hhs.015 exposure, Vm increased amino acid metabolism to synthesize the required nitrogenous compounds, while alpha-keto acids, which involved in the TCA cycle, could be used to produce energy by deamination or transamination. Retinol dehydrogenase, associated with cell wall dextran synthesis, and sterol 24-C-methyltransferase, related to cell membrane ergosterol synthesis, were up-regulated. The genes encoding glutathione S-transferase, (GST), which has antioxidant activity and ABC transporters which have an efflux function, were also up-regulated. These results show that the response of Vm to Sy Hhs.015 exposure is a complicated and highly regulated process, and provide a theoretical basis for both clarifying the biocontrol mechanism of Sy Hhs.015 and the response of Vm to stress.

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